| |
| <!DOCTYPE html> |
| |
| <html> |
| <head> |
| <meta charset="utf-8" /> |
| <title>pyspark.pandas.DataFrame.iloc — PySpark 3.4.3 documentation</title> |
| |
| <link rel="stylesheet" href="../../../_static/css/index.73d71520a4ca3b99cfee5594769eaaae.css"> |
| |
| |
| <link rel="stylesheet" |
| href="../../../_static/vendor/fontawesome/5.13.0/css/all.min.css"> |
| <link rel="preload" as="font" type="font/woff2" crossorigin |
| href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-solid-900.woff2"> |
| <link rel="preload" as="font" type="font/woff2" crossorigin |
| href="../../../_static/vendor/fontawesome/5.13.0/webfonts/fa-brands-400.woff2"> |
| |
| |
| |
| <link rel="stylesheet" |
| href="../../../_static/vendor/open-sans_all/1.44.1/index.css"> |
| <link rel="stylesheet" |
| href="../../../_static/vendor/lato_latin-ext/1.44.1/index.css"> |
| |
| |
| <link rel="stylesheet" href="../../../_static/basic.css" type="text/css" /> |
| <link rel="stylesheet" href="../../../_static/pygments.css" type="text/css" /> |
| <link rel="stylesheet" type="text/css" href="../../../_static/copybutton.css" /> |
| <link rel="stylesheet" type="text/css" href="../../../_static/css/pyspark.css" /> |
| |
| <link rel="preload" as="script" href="../../../_static/js/index.3da636dd464baa7582d2.js"> |
| |
| <script id="documentation_options" data-url_root="../../../" src="../../../_static/documentation_options.js"></script> |
| <script src="../../../_static/jquery.js"></script> |
| <script src="../../../_static/underscore.js"></script> |
| <script src="../../../_static/doctools.js"></script> |
| <script src="../../../_static/language_data.js"></script> |
| <script src="../../../_static/clipboard.min.js"></script> |
| <script src="../../../_static/copybutton.js"></script> |
| <script crossorigin="anonymous" integrity="sha256-Ae2Vz/4ePdIu6ZyI/5ZGsYnb+m0JlOmKPjt6XZ9JJkA=" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script> |
| <script async="async" src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS-MML_HTMLorMML"></script> |
| <script type="text/x-mathjax-config">MathJax.Hub.Config({"tex2jax": {"inlineMath": [["$", "$"], ["\\(", "\\)"]], "processEscapes": true, "ignoreClass": "document", "processClass": "math|output_area"}})</script> |
| <link rel="canonical" href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.pandas/api/pyspark.pandas.DataFrame.iloc.html" /> |
| <link rel="search" title="Search" href="../../../search.html" /> |
| <link rel="next" title="pyspark.pandas.DataFrame.items" href="pyspark.pandas.DataFrame.items.html" /> |
| <link rel="prev" title="pyspark.pandas.DataFrame.loc" href="pyspark.pandas.DataFrame.loc.html" /> |
| <meta name="viewport" content="width=device-width, initial-scale=1" /> |
| <meta name="docsearch:language" content="en" /> |
| </head> |
| <body data-spy="scroll" data-target="#bd-toc-nav" data-offset="80"> |
| |
| <nav class="navbar navbar-light navbar-expand-lg bg-light fixed-top bd-navbar" id="navbar-main"> |
| <div class="container-xl"> |
| |
| <a class="navbar-brand" href="../../../index.html"> |
| |
| <img src="../../../_static/spark-logo-reverse.png" class="logo" alt="logo" /> |
| |
| </a> |
| <button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbar-menu" aria-controls="navbar-menu" aria-expanded="false" aria-label="Toggle navigation"> |
| <span class="navbar-toggler-icon"></span> |
| </button> |
| |
| <div id="navbar-menu" class="col-lg-9 collapse navbar-collapse"> |
| <ul id="navbar-main-elements" class="navbar-nav mr-auto"> |
| |
| |
| <li class="nav-item "> |
| <a class="nav-link" href="../../../index.html">Overview</a> |
| </li> |
| |
| <li class="nav-item "> |
| <a class="nav-link" href="../../../getting_started/index.html">Getting Started</a> |
| </li> |
| |
| <li class="nav-item "> |
| <a class="nav-link" href="../../../user_guide/index.html">User Guides</a> |
| </li> |
| |
| <li class="nav-item active"> |
| <a class="nav-link" href="../../index.html">API Reference</a> |
| </li> |
| |
| <li class="nav-item "> |
| <a class="nav-link" href="../../../development/index.html">Development</a> |
| </li> |
| |
| <li class="nav-item "> |
| <a class="nav-link" href="../../../migration_guide/index.html">Migration Guides</a> |
| </li> |
| |
| |
| </ul> |
| |
| |
| |
| |
| <ul class="navbar-nav"> |
| |
| |
| </ul> |
| </div> |
| </div> |
| </nav> |
| |
| |
| <div class="container-xl"> |
| <div class="row"> |
| |
| <div class="col-12 col-md-3 bd-sidebar"><form class="bd-search d-flex align-items-center" action="../../../search.html" method="get"> |
| <i class="icon fas fa-search"></i> |
| <input type="search" class="form-control" name="q" id="search-input" placeholder="Search the docs ..." aria-label="Search the docs ..." autocomplete="off" > |
| </form> |
| <nav class="bd-links" id="bd-docs-nav" aria-label="Main navigation"> |
| |
| <div class="bd-toc-item active"> |
| |
| |
| <ul class="nav bd-sidenav"> |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.sql/index.html">Spark SQL</a> |
| </li> |
| |
| |
| |
| |
| <li class="active"> |
| <a href="../index.html">Pandas API on Spark</a> |
| <ul> |
| |
| <li class=""> |
| <a href="../io.html">Input/Output</a> |
| </li> |
| |
| <li class=""> |
| <a href="../general_functions.html">General functions</a> |
| </li> |
| |
| <li class=""> |
| <a href="../series.html">Series</a> |
| </li> |
| |
| <li class="active"> |
| <a href="../frame.html">DataFrame</a> |
| </li> |
| |
| <li class=""> |
| <a href="../indexing.html">Index objects</a> |
| </li> |
| |
| <li class=""> |
| <a href="../window.html">Window</a> |
| </li> |
| |
| <li class=""> |
| <a href="../groupby.html">GroupBy</a> |
| </li> |
| |
| <li class=""> |
| <a href="../resampling.html">Resampling</a> |
| </li> |
| |
| <li class=""> |
| <a href="../ml.html">Machine Learning utilities</a> |
| </li> |
| |
| <li class=""> |
| <a href="../extensions.html">Extensions</a> |
| </li> |
| |
| </ul> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.ss/index.html">Structured Streaming</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.ml.html">MLlib (DataFrame-based)</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.streaming.html">Spark Streaming (Legacy)</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.mllib.html">MLlib (RDD-based)</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.html">Spark Core</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.resource.html">Resource Management</a> |
| </li> |
| |
| |
| |
| <li class=""> |
| <a href="../../pyspark.errors.html">Errors</a> |
| </li> |
| |
| |
| |
| |
| |
| |
| |
| |
| </ul> |
| |
| </nav> |
| </div> |
| |
| |
| |
| <div class="d-none d-xl-block col-xl-2 bd-toc"> |
| |
| |
| <nav id="bd-toc-nav"> |
| <ul class="nav section-nav flex-column"> |
| |
| </ul> |
| </nav> |
| |
| |
| |
| </div> |
| |
| |
| |
| <main class="col-12 col-md-9 col-xl-7 py-md-5 pl-md-5 pr-md-4 bd-content" role="main"> |
| |
| <div> |
| |
| <div class="section" id="pyspark-pandas-dataframe-iloc"> |
| <h1>pyspark.pandas.DataFrame.iloc<a class="headerlink" href="#pyspark-pandas-dataframe-iloc" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.pandas.DataFrame.iloc"> |
| <em class="property">property </em><code class="sig-prename descclassname">DataFrame.</code><code class="sig-name descname">iloc</code><a class="headerlink" href="#pyspark.pandas.DataFrame.iloc" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Purely integer-location based indexing for selection by position.</p> |
| <p><code class="docutils literal notranslate"><span class="pre">.iloc[]</span></code> is primarily integer position based (from <code class="docutils literal notranslate"><span class="pre">0</span></code> to |
| <code class="docutils literal notranslate"><span class="pre">length-1</span></code> of the axis), but may also be used with a conditional boolean Series.</p> |
| <p>Allowed inputs are:</p> |
| <ul class="simple"> |
| <li><p>An integer for column selection, e.g. <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p></li> |
| <li><p>A list or array of integers for row selection with distinct index values, |
| e.g. <code class="docutils literal notranslate"><span class="pre">[3,</span> <span class="pre">4,</span> <span class="pre">0]</span></code></p></li> |
| <li><p>A list or array of integers for column selection, e.g. <code class="docutils literal notranslate"><span class="pre">[4,</span> <span class="pre">3,</span> <span class="pre">0]</span></code>.</p></li> |
| <li><p>A boolean array for column selection.</p></li> |
| <li><p>A slice object with ints for row and column selection, e.g. <code class="docutils literal notranslate"><span class="pre">1:7</span></code>.</p></li> |
| </ul> |
| <p>Not allowed inputs which pandas allows are:</p> |
| <ul class="simple"> |
| <li><p>A list or array of integers for row selection with duplicated indexes, |
| e.g. <code class="docutils literal notranslate"><span class="pre">[4,</span> <span class="pre">4,</span> <span class="pre">0]</span></code>.</p></li> |
| <li><p>A boolean array for row selection.</p></li> |
| <li><p>A <code class="docutils literal notranslate"><span class="pre">callable</span></code> function with one argument (the calling Series, DataFrame |
| or Panel) and that returns valid output for indexing (one of the above). |
| This is useful in method chains when you don’t have a reference to the |
| calling object but would like to base your selection on some value.</p></li> |
| </ul> |
| <p><code class="docutils literal notranslate"><span class="pre">.iloc</span></code> will raise <code class="docutils literal notranslate"><span class="pre">IndexError</span></code> if a requested indexer is |
| out-of-bounds, except <em>slice</em> indexers which allow out-of-bounds |
| indexing (this conforms with python/numpy <em>slice</em> semantics).</p> |
| <div class="admonition seealso"> |
| <p class="admonition-title">See also</p> |
| <dl class="simple"> |
| <dt><a class="reference internal" href="pyspark.pandas.DataFrame.loc.html#pyspark.pandas.DataFrame.loc" title="pyspark.pandas.DataFrame.loc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">DataFrame.loc</span></code></a></dt><dd><p>Purely label-location based indexer for selection by label.</p> |
| </dd> |
| <dt><a class="reference internal" href="pyspark.pandas.Series.iloc.html#pyspark.pandas.Series.iloc" title="pyspark.pandas.Series.iloc"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Series.iloc</span></code></a></dt><dd><p>Purely integer-location based indexing for selection by position.</p> |
| </dd> |
| </dl> |
| </div> |
| <p class="rubric">Examples</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">mydict</span> <span class="o">=</span> <span class="p">[{</span><span class="s1">'a'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">:</span> <span class="mi">3</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">:</span> <span class="mi">4</span><span class="p">},</span> |
| <span class="gp">... </span> <span class="p">{</span><span class="s1">'a'</span><span class="p">:</span> <span class="mi">100</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">:</span> <span class="mi">200</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">:</span> <span class="mi">300</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">:</span> <span class="mi">400</span><span class="p">},</span> |
| <span class="gp">... </span> <span class="p">{</span><span class="s1">'a'</span><span class="p">:</span> <span class="mi">1000</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">:</span> <span class="mi">2000</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">:</span> <span class="mi">3000</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">:</span> <span class="mi">4000</span> <span class="p">}]</span> |
| <span class="gp">>>> </span><span class="n">df</span> <span class="o">=</span> <span class="n">ps</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">mydict</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'a'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">,</span> <span class="s1">'c'</span><span class="p">,</span> <span class="s1">'d'</span><span class="p">])</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 1 2 3 4</span> |
| <span class="go">1 100 200 300 400</span> |
| <span class="go">2 1000 2000 3000 4000</span> |
| </pre></div> |
| </div> |
| <p><strong>Indexing just the rows</strong></p> |
| <p>A scalar integer for row selection.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> |
| <span class="go">a 100</span> |
| <span class="go">b 200</span> |
| <span class="go">c 300</span> |
| <span class="go">d 400</span> |
| <span class="go">Name: 1, dtype: int64</span> |
| </pre></div> |
| </div> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[[</span><span class="mi">0</span><span class="p">]]</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 1 2 3 4</span> |
| </pre></div> |
| </div> |
| <p>With a <cite>slice</cite> object.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">3</span><span class="p">]</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 1 2 3 4</span> |
| <span class="go">1 100 200 300 400</span> |
| <span class="go">2 1000 2000 3000 4000</span> |
| </pre></div> |
| </div> |
| <p><strong>Indexing both axes</strong></p> |
| <p>You can mix the indexer types for the index and columns. Use <code class="docutils literal notranslate"><span class="pre">:</span></code> to |
| select the entire axis.</p> |
| <p>With scalar integers.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span> |
| <span class="go">0 2</span> |
| <span class="go">Name: b, dtype: int64</span> |
| </pre></div> |
| </div> |
| <p>With lists of integers.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">2</span><span class="p">,</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">]]</span> |
| <span class="go"> b d</span> |
| <span class="go">0 2 4</span> |
| <span class="go">1 200 400</span> |
| </pre></div> |
| </div> |
| <p>With <cite>slice</cite> objects.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:</span><span class="mi">2</span><span class="p">,</span> <span class="mi">0</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span> |
| <span class="go"> a b c</span> |
| <span class="go">0 1 2 3</span> |
| <span class="go">1 100 200 300</span> |
| </pre></div> |
| </div> |
| <p>With a boolean array whose length matches the columns.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="p">[</span><span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">]]</span> |
| <span class="go"> a c</span> |
| <span class="go">0 1 3</span> |
| <span class="go">1 100 300</span> |
| <span class="go">2 1000 3000</span> |
| </pre></div> |
| </div> |
| <p><strong>Setting values</strong></p> |
| <p>Setting value for all items matching the list of labels.</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="p">[</span><span class="mi">1</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">50</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 1 2 3 4</span> |
| <span class="go">1 100 50 300 400</span> |
| <span class="go">2 1000 50 3000 4000</span> |
| </pre></div> |
| </div> |
| <p>Setting value for an entire row</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="mi">10</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 10 10 10 10</span> |
| <span class="go">1 100 50 300 400</span> |
| <span class="go">2 1000 50 3000 4000</span> |
| </pre></div> |
| </div> |
| <p>Set value for an entire column</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">]</span> <span class="o">=</span> <span class="mi">30</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 10 10 30 10</span> |
| <span class="go">1 100 50 30 400</span> |
| <span class="go">2 1000 50 30 4000</span> |
| </pre></div> |
| </div> |
| <p>Set value for an entire list of columns</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">]]</span> <span class="o">=</span> <span class="mi">100</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 10 10 100 100</span> |
| <span class="go">1 100 50 100 100</span> |
| <span class="go">2 1000 50 100 100</span> |
| </pre></div> |
| </div> |
| <p>Set value with Series</p> |
| <div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">3</span><span class="p">]</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">3</span><span class="p">]</span> <span class="o">*</span> <span class="mi">2</span> |
| <span class="gp">>>> </span><span class="n">df</span> |
| <span class="go"> a b c d</span> |
| <span class="go">0 10 10 100 200</span> |
| <span class="go">1 100 50 100 200</span> |
| <span class="go">2 1000 50 100 200</span> |
| </pre></div> |
| </div> |
| </dd></dl> |
| |
| </div> |
| |
| |
| </div> |
| |
| |
| <div class='prev-next-bottom'> |
| |
| <a class='left-prev' id="prev-link" href="pyspark.pandas.DataFrame.loc.html" title="previous page">pyspark.pandas.DataFrame.loc</a> |
| <a class='right-next' id="next-link" href="pyspark.pandas.DataFrame.items.html" title="next page">pyspark.pandas.DataFrame.items</a> |
| |
| </div> |
| |
| </main> |
| |
| |
| </div> |
| </div> |
| |
| |
| <script src="../../../_static/js/index.3da636dd464baa7582d2.js"></script> |
| |
| |
| <footer class="footer mt-5 mt-md-0"> |
| <div class="container"> |
| <p> |
| © Copyright .<br/> |
| Created using <a href="http://sphinx-doc.org/">Sphinx</a> 3.0.4.<br/> |
| </p> |
| </div> |
| </footer> |
| </body> |
| </html> |